{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b6425603-02e3-4d79-aa9e-db656677f30e",
   "metadata": {},
   "outputs": [],
   "source": [
    "#导入所需的库文件\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from pyecharts.charts import Line\n",
    "import pyecharts.options as opts\n",
    "\n",
    "#在jupyter notebook演示\n",
    "from pyecharts.globals import CurrentConfig, NotebookType \n",
    "CurrentConfig.NOTEBOOK_TYPE = NotebookType.NTERACT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "bd4a3d3f-eaa9-4ceb-9675-3388f6776f93",
   "metadata": {},
   "outputs": [],
   "source": [
    "#导入数据\n",
    "data=pd.DataFrame(\n",
    "    pd.read_csv('人民币汇率中间价历史数据.csv',\n",
    "                index_col=\"日期\",\n",
    "                parse_dates=True,\n",
    "                header=0,\n",
    "                encoding='utf-8'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "54313cda-93c5-415d-abce-3e23fa32e2fc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            USD/CNY\n",
      "日期                 \n",
      "2022-05-10   6.7134\n",
      "2022-05-09   6.6899\n",
      "2022-05-06   6.6332\n",
      "2022-05-05   6.5672\n",
      "2022-04-29   6.6177\n"
     ]
    }
   ],
   "source": [
    "print(data.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "fe80cf0b-e99a-43a6-9e09-6503d205b37a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            USD/CNY\n",
      "日期                 \n",
      "2021-06-10   6.3972\n",
      "2021-06-11   6.3856\n",
      "2021-06-15   6.4070\n",
      "2021-06-16   6.4078\n",
      "2021-06-17   6.4298\n"
     ]
    }
   ],
   "source": [
    "data.sort_index(inplace=True) #日期排序\n",
    "print(data.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2fe46821-6e7b-47e3-b29b-70c78f79254e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<pyecharts.charts.basic_charts.line.Line at 0x7f8698c292b0>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#画图\n",
    "line = Line(init_opts = opts.InitOpts(width=\"1600px\", height=\"800px\"))\n",
    "line.add_xaxis(data.index.tolist())\n",
    "line.add_yaxis(\"汇率\", data[\"USD/CNY\"].tolist(),\n",
    "               markline_opts=opts.MarkLineOpts(data=[opts.MarkLineItem(type_=\"average\")])\n",
    "              )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1e4d47e1-f331-4263-a12d-67332db2ba13",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<pyecharts.charts.basic_charts.line.Line at 0x7f8698c292b0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "line.set_global_opts(\n",
    "    title_opts=opts.TitleOpts(\n",
    "        title=\"美元/人民币汇率\"\n",
    "    ),\n",
    "    tooltip_opts=opts.TooltipOpts(\n",
    "        is_show=True,\n",
    "        trigger=\"axis\",\n",
    "        axis_pointer_type=\"cross\"\n",
    "    ),\n",
    "    xaxis_opts=opts.AxisOpts(\n",
    "        type_=\"category\",\n",
    "        axispointer_opts=opts.AxisPointerOpts(is_show=True,\n",
    "                                              type_=\"shadow\")\n",
    "    ),\n",
    "    yaxis_opts=opts.AxisOpts(\n",
    "        min_='dataMin', #y轴最小值\n",
    "        axislabel_opts=opts.LabelOpts(formatter=\"¥ {value}\"))) #y轴符号 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c2bb2b4e-6fcb-4000-b4e5-33dfce042f7d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<head>\n",
       "    <meta charset=\"UTF-8\">\n",
       "    <title>Awesome-pyecharts</title>\n",
       "            <script type=\"text/javascript\" src=\"https://assets.pyecharts.org/assets/echarts.min.js\"></script>\n",
       "\n",
       "</head>\n",
       "<body>\n",
       "    <div id=\"8bb716e273aa41f2b06cc0cae4e41fcb\" class=\"chart-container\" style=\"width:1600px; height:800px;\"></div>\n",
       "    <script>\n",
       "        var chart_8bb716e273aa41f2b06cc0cae4e41fcb = echarts.init(\n",
       "            document.getElementById('8bb716e273aa41f2b06cc0cae4e41fcb'), 'white', {renderer: 'canvas'});\n",
       "        var option_8bb716e273aa41f2b06cc0cae4e41fcb = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"color\": [\n",
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